Wind Energy AI Optimization Specialist
4 days ago
At Danmarks Tekniske Universitet (DTU), we invite applications for a PhD position focused on the topic of AI augmented design optimization of wind farms at DTU Wind. This is an exciting opportunity to make a significant contribution towards next generation wind farm design methodology.
You will be affiliated with the System Engineering and Optimization (SYS) section in the Division of Wind Energy Systems, where you will work closely with experts from all across the department and companies to create simulation, design and control solutions for wind farms, wind clusters and hybrid-power plants.
This project is a part of the TWEED (Training Wind Energy Experts on Digitalisation) Doctoral Network, funded by EU through the Horizon Europe MSCA programme. TWEED aims to train the next generation of excellent researchers equipped with a full set of technical and complementary skills to develop high-impact careers in wind energy digitalization.
Responsibilities and Qualifications- A master's degree in an engineering field or computer science
- Proficiency in scientific programming (preferably with Python)
- A background in optimization
Danmarks Tekniske Universitet (DTU) is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice.
Salary and BenefitsThe appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The salary for the PhD candidate will be approximately DKK 31,600 per month before taxes, plus benefits such as pension and health insurance.
How to ApplyYour complete online application must be submitted no later than 15 October 2024. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link 'Apply now', fill out the online application form, and attach all your materials in English in one PDF file.
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